code: def main(argv):
      del argv
      out_path = os.path.join(_output_dir(), "cassavaleafdata")
      jpg = _get_jpeg(height=6, width=6)
  
      for idx, label in enumerate(
          ["cbb", "cgm", "cbsd", "cmd", "healthy"]
      ):
          example_imgs = []
          for category in ["train", "test", "validation"]:
              example = "{cat}/{label}/{cat}-{label}-{id}.jpg".format(
                  label=label, id=idx, cat=category
              )
              example_imgs.append(os.path.join(out_path, example))
          _save_images(jpg, example_imgs)
  
file_path: datasets/tensorflow_datasets/testing/fake_data_generation/cassava.py
imports: import os
  from absl import app
  from absl import flags
  from tensorflow_datasets.core import utils
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  from tensorflow_datasets.testing import fake_data_utils
label_desc: Use image node_id 4 for calling a global function with example usage: main(argv) without return types